Category: Agentic AI
Articles tagged Agentic AI
Experiments in improving Agentic AI tools for Elasticsearch
Learn how we improved AI agent workflows for Elasticsearch through iterative experiments by combining linear retrievers, hybrid search, and semantic_text for scalable RAG optimization.
CI/CD pipelines with agentic AI: How to create self-correcting monorepos
How our team introduced GenAI into CI pipelines to create self-correcting pull requests, automizing the update of hundreds of dependencies in large monorepos
Your first Elastic Agent: From a single query to an AI-powered chat
Learn how to use Elastic’s AI Agent builder to create specialized AI agents. In this blog, we'll be building a financial AI Agent.
Building AI Agentic workflows with Elasticsearch
Learn about Agent Builder, a new AI layer in Elasticsearch that provides a framework for building AI agentic workflows, using hybrid search to provide agents with the context they need to reason and act.
Building an agentic RAG assistant with JavaScript, Mastra and Elasticsearch
Learn how to build AI agents in the JavaScript ecosystem
Building an MCP server with Elasticsearch for real health data
Learn learn how to build an MCP server using FastMCP and Elasticsearch to manage and search data.
Connect Agents to Elasticsearch with Model Context Protocol
Let’s use Model Context Protocol server to chat with your data in Elasticsearch.
Beyond vectors: Intelligent hybrid search with LLM agents in Elasticsearch
Vector search alone does not account for time, space, or intention, limiting its effectiveness. Thankfully, a solution lies in combining Elastic's traditional search features with LLM agents.
The AI Agent to manage Elasticsearch Serverless projects
A natural language-powered AI agent that effortlessly manages Elasticsearch Serverless projects—enabling project creation, deletion, and status checks.
Agentic RAG with Elasticsearch & Langchain
Discussing Agentic RAG and implementing an agentic flow where the LLM chooses to call an Elastic KB.
LangChain and Elasticsearch: Building LangGraph retrieval agent template
Elasticsearch and LangChain collaborate on a new retrieval agent template for LangGraph for agentic apps
A tutorial on building local agent using LangGraph, LLaMA3 and Elasticsearch vector store from scratch
This article will provide a detailed tutorial on implementing a local, reliable agent using LangGraph, combining concepts from Adaptive RAG, Corrective RAG, and Self-RAG papers, and integrating Langchain, Elasticsearch Vector Store, Tavily AI for web search, and LLaMA3 via Ollama.